{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 22,
   "source": [
    "import pandas as pd\r\n",
    "\r\n",
    "data = 'https://www.gairuo.com/file/data/dataset/team.xlsx'\r\n",
    "\r\n",
    "##df = pd.read_excel(data,index_col = 'name')\r\n",
    "df = pd.read_excel(data)\r\n",
    "df.loc[0]\r\n",
    "type(df.loc[0])\r\n",
    "\r\n",
    "\r\n",
    "\r\n"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "name    Liver\n",
       "team        E\n",
       "Q1         89\n",
       "Q2         21\n",
       "Q3         24\n",
       "Q4         64\n",
       "Name: 0, dtype: object"
      ]
     },
     "metadata": {},
     "execution_count": 22
    }
   ],
   "metadata": {}
  }
 ],
 "metadata": {
  "orig_nbformat": 4,
  "language_info": {
   "name": "python",
   "version": "3.7.4",
   "mimetype": "text/x-python",
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "pygments_lexer": "ipython3",
   "nbconvert_exporter": "python",
   "file_extension": ".py"
  },
  "kernelspec": {
   "name": "python3",
   "display_name": "Python 3.7.4 64-bit"
  },
  "interpreter": {
   "hash": "7945e9a82d7512fbf96246d9bbc29cd2f106c1a4a9cf54c9563dadf10f2237d4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}